To the Editor:
In their paper entitled
“Geographic Disparities in Children’s Mental Health Care”, Sturm et al.1
concluded that geographic differences have a far greater impact than
racial/ethnic disparities on the utilization of mental health services.
Specifically, the authors state in their conclusion that “The differences in the
rates of use or unmet need [of mental health care] are not driven by differences
in the racial/ethnic or socioeconomic makeup across states …” We differ on this
point and offer several reasons why we believe that race/ethnicity and
socioeconomic factors, in addition to geography, contribute prominently and
interact to produce variations in mental health service utilization.
First, the Sturm et al. findings
are not consistent with racial disparity findings based on prevalence estimates
of psychotropic use from school surveys, administrative claims data and national
health care survey data. In large school surveys
2 3;4(n=29,734-816,465) the
White:Black (W:B) prevalence ratio for stimulant treatment ranged from 1.6:1 to
2.3:1. Likewise, in 3 statewide prevalence studies of Medicaid enrolled youths,
the W:B prevalence ratio for any psychotropic dispensing ranged from 1.7:1 to
2.4:1.5-7 National data from the
1996 Medical Expenditure Panel Survey (MEPS) on any psychotropic treatment for
youths revealed a W:B medication prevalence ratio 1.7.
8
Socioeconomic data reveal more
mixed findings9
but uninsured youths have a 3-fold lower prevalence of any psychotropic
medication than those who are insured.8
Regional differences in
psychotropic medication prevalence in the US are about as prominent as
racial/ethnic differences. In the 1996 MEPS study of youths comparing
psychotropic medication prevalence between regions in the US, the differences
range up to 2.7:1 for stimulants and up to 2.5:1 for the use of ‘any’
psychotropic medication.8
Administrative claims data from regions show weaker disparities, although
limiting the analysis to commercially insured individuals within a region may
reduce the effect. For example, in the Cox et al. study,
10 the greatest regional disparity
for youths with dispensed stimulants was 1.8:1 and in the Shatin and Drinkard
study the greatest regional disparity for stimulants
was 1.5:1.11
Second, race/ethnicity, economic
and geographic factors are interrelated and the authors’ acknowledgement of a
lack of statistical power to examine the interactions in this study suggests
that the question is unresolved. The interrelationship of these 3 variables is,
to some extent, apparent from the data the authors presented. If one divides
the 13 states selected by the author into those above and those below the
national average in mental health services for youths (7.45%), it is apparent
that race and poverty sizably interact with region. This is presented in the
Table below. To clearly determine the relative importance of each of the 3 major
variables on mental health services utilization, a more sophisticated analysis
is required.
Third, the authors chose to
measure “unmet need” in terms solely of parent report of 6 items of the child
behavioral checklist. This measure has low agreement with respect to clinician
or teacher ratings,12
which limits the authors’ conclusion that state-based access policies are the
main reason for geographic variations in mental health care.
Moving the research agenda on
unmet need forward requires prospective studies of community samples of youths
so that need can be clinically assessed from multiple informants, along with
measures of duration and continuity of treatment, benefits and satisfaction with
mental health services. If studies adopt a contextual perspective, the
interaction of race/ethnicity, economic status, and geography on the met and
unmet mental health needs for US youths should become clearer.
Table. Any mental health service for youths by state in
relation to population statistics on racial and poverty status (2000 census
data).
|
State |
% of youths with any mental health service
|
% white |
% below federal poverty level
|
|
Above mean |
|
|
|
|
Wisconsin |
7.96 |
87 |
8.7 |
|
Washington |
7.97 |
79 |
10.6 |
|
Minnesota |
9.27 |
88 |
7.9 |
|
Massachusetts |
11.55 |
82 |
9.3 |
|
Colorado |
10.06 |
75 |
9.3 |
|
Michigan |
7.65 |
79 |
10.5 |
|
New York |
8.07 |
62 |
14.6 |
|
|
|
|
|
|
Below mean |
|
|
|
|
Alabama |
6.47 |
70 |
16.1 |
|
California |
5.13 |
47 |
14.2 |
|
Florida |
6.47 |
65 |
12.5 |
|
Mississippi |
6.58 |
61 |
19.9 |
|
New Jersey |
6.87 |
66 |
8.5 |
|
Texas |
5.69 |
52 |
15.4 |
|
National mean |
7.45 |
References Cited
1. Sturm R, Ringell, JS,
Andreyeva, T: Geographic disparities in children's mental health care.
Pediatrics 2003;112:e308-e315
2. LeFever GB, Dawson
KV, Morrow AL: The extent of drug therapy for attention deficit-hyperactivity
disorder among children in public schools. American Journal of Public Health
1999;89:1359-1364.
3. Safer DJ, Malever M:
Stimulant treatment in Maryland public schools. Pediatrics 2000;106:533-539.
4. Rowland AS, Umbach
DM, Stallone L, Bohlig EM, Sandler DP: Prevalence of medication treatment for
attention deficit-hyperactivity disorder among elementary school children in
Johnston County,
North Carolina. Am J Public Health 2002;92:231-234.
5. Rushton JL, Whitmire
JT: Pediatric stimulant and SSRI prescription trends: 1992-1998. Arch
Pediatr Adolesc Med 2001;155:560-565.
6. Martin A, VanHoof T,
Stubbe D, Sherwin T, Scahill L: Multiple psychotropic pharmacotherapy among
child and adolescent enrollees in Connecticut medicaid managed care. Psychiatric Services
2003;54:72-77.
7. Zito JM, Safer DJ,
dosReis S, et al: Psychotropic practice patterns for youth: a ten-year
perspective. Arch Pediatr Adolesc Med 2003;157:17-25.
8. Olfson M, Marcus SC,
Weissman MM, Jensen PS: National trends in the use of psychotropic medications
by children. J Am Acad Child Adolesc Psychiatry 2002;41:514-521.
9. Safer DJ, Zito JM:
Pharmacoepidemiology of psychotropic medications in youth, in
Rosenberg DR, Davanzo PA, Gershon S (eds): Pharmacotherapy for Child
and Adolescent Psychiatric Disorders. New York, Marcel Dekker, Inc.; 2002:p.
28.
10. Cox ER, Motheral BR,
Henderson RR, Mager D: Geographic variation in the prevalence of stimulant
medication use among children 5 to 14 years old: results from a commercially
insured US sample. Pediatrics 2003;111:237-243.
11. Shatin D, Drinkard CR:
Ambulatory use of psychotropics by employer-insured children and adolescents in
a national managed care organization. Ambulatory Pediatrics 2002;2:111-119.
12. Achenbach TM,
McConaughy SH, Howell CT: Child/adolescent behavioral and emotional problems:
implications of cross informant correlations for situational specificity.
Psychological Bulletin 1987;101:213-232.